static RegressionResults.uncentered_tss()

statsmodels.regression.linear_model.RegressionResults.uncentered_tss static RegressionResults.uncentered_tss() [source]

statsmodels.regression.linear_model.RegressionResults.tvalues static RegressionResults.tvalues() Return the t-statistic for a given parameter estimate.

static RegressionResults.ssr()

statsmodels.regression.linear_model.RegressionResults.ssr static RegressionResults.ssr() [source]

static RegressionResults.scale()

statsmodels.regression.linear_model.RegressionResults.scale static RegressionResults.scale() [source]

static RegressionResults.rsquared_adj()

statsmodels.regression.linear_model.RegressionResults.rsquared_adj static RegressionResults.rsquared_adj() [source]

static RegressionResults.rsquared()

statsmodels.regression.linear_model.RegressionResults.rsquared static RegressionResults.rsquared() [source]

static RegressionResults.resid_pearson()

statsmodels.regression.linear_model.RegressionResults.resid_pearson static RegressionResults.resid_pearson() [source] Residuals, normalized to have unit variance. Returns: An array wresid/sqrt(scale) :

static RegressionResults.resid()

statsmodels.regression.linear_model.RegressionResults.resid static RegressionResults.resid() [source]

static RegressionResults.pvalues()

statsmodels.regression.linear_model.RegressionResults.pvalues static RegressionResults.pvalues()

static RegressionResults.nobs()

statsmodels.regression.linear_model.RegressionResults.nobs static RegressionResults.nobs() [source]